Professor Jim Bezdek

Recent publications

  1. Rathore, P.; Kumar, D.; Bezdek, JC.; Rajasegarar, S.; Palaniswami, M. A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data. IEEE Transactions on Knowledge and Data Engineering. IEEE COMPUTER SOC. 2019, Vol. 31, Issue 4, pp. 641-654. DOI: 10.1109/TKDE.2018.2842191
  2. Rathore, P.; Kumar, D.; Rajasegarar, S.; Palaniswami, M.; Bezdek, JC. A Scalable Framework for Trajectory Prediction. IEEE Transactions on Intelligent Transportation Systems. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2019, Vol. 20, Issue 10, pp. 3860-3874. DOI: 10.1109/TITS.2019.2899179
  3. Nguyen, TT.; Dang, MT.; Liew, AWC.; Bezdek, JC. A weighted multiple classifier framework based on random projection. Information Sciences. Elsevier BV. 2019, Vol. 490, pp. 36-58. DOI: 10.1016/j.ins.2019.03.067
  4. Rathore, P.; Ghafoori, Z.; Bezdek, JC.; Palaniswami, M.; Leckie, C. Approximating Dunn's Cluster Validity Indices for Partitions of Big Data. IEEE Transactions on Cybernetics. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2019, Vol. 49, Issue 5, pp. 1629-1641. DOI: 10.1109/TCYB.2018.2806886
  5. Lyu, L.; Bezdek, JC.; He, X.; Jin, J. Fog-Embedded Deep Learning for the Internet of Things. IEEE Transactions on Industrial Informatics. Institute of Electrical and Electronics Engineers. 2019, Vol. 15, Issue 7, pp. 4206-4215. DOI: 10.1109/TII.2019.2912465
  6. Ruspini, EH.; Bezdek, JC.; Keller, JM. Fuzzy clustering: A historical perspective. IEEE Computational Intelligence Magazine. Institute of Electrical and Electronics Engineers (IEEE). 2019, Vol. 14, Issue 1, pp. 45-55. DOI: 10.1109/MCI.2018.2881643
  7. Moshtaghi, M.; Bezdek, JC.; Erfani, SM.; Leckie, C.; Bailey, J. Online cluster validity indices for performance monitoring of streaming data clustering. International Journal of Intelligent Systems. WILEY. 2019, Vol. 34, Issue 4, pp. 541-563. DOI: 10.1002/int.22064
  8. Runkler, TA.; Bezdek, JC. Optimizing the C index using a canonical genetic algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11454 LNCS, pp. 287-298. DOI: 10.1007/978-3-030-16692-2_19
  9. Zameni, M.; He, M.; Moshtaghi, M.; Ghafoori, Z.; Leckie, C.; Bezdek, JC.; Ramamohanarao, K. Urban sensing for anomalous event detection: Distinguishing between legitimate traffic changes and abnormal traffic variability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2019, Vol. 11053 LNAI, pp. 553-568. DOI: 10.1007/978-3-030-10997-4_34
  10. Ibrahim, OA.; Keller, JM.; Bezdek, JC. Analysis of streaming clustering using an incremental validity index. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE. 2018, Vol. 2018-July. DOI: 10.1109/FUZZ-IEEE.2018.8491558
  11. Rathore, P.; Bezdek, JC.; Kumar, D.; Rajasegarar, S.; Palaniswami, M. Approximate Cluster Heat Maps of Large High-Dimensional Data. 2018 24th International Conference on Pattern Recognition (ICPR). IEEE. 2018, Vol. 2018-August, pp. 195-200. DOI: 10.1109/ICPR.2018.8545519
  12. Kumar, D.; Ghafoori, Z.; Bezdek, JC.; Leckie, C.; Ramamohanarao, K.; Palaniswami, M. Dealing with Inliers in Feature Vector Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. WORLD SCIENTIFIC PUBL CO PTE LTD. 2018, Vol. 26, Issue Suppl.2, pp. 25-45. DOI: 10.1142/S021848851840010x
  13. . Editorial Celebrating 25 Years of the IEEE Transactions on Fuzzy Systems. . Institute of Electrical and Electronics Engineers (IEEE). 2018, Vol. 26, Issue 1.
  14. Ghafoori, Z.; Erfani, SM.; Rajasegarar, S.; Bezdek, JC.; Karunasekera, S.; Leckie, C. Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. IEEE Transactions on Neural Networks and Learning Systems. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2018, Vol. 29, Issue 10, pp. 5057-5070. DOI: 10.1109/TNNLS.2017.2785792
  15. Rathore, P.; Bezdek, JC.; Erfani, SM.; Rajasegarar, S.; Palaniswami, M. Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE Transactions on Fuzzy Systems. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2018, Vol. 26, Issue 3, pp. 1510-1524. DOI: 10.1109/TFUZZ.2017.2729501
  16. Rathore, P.; Ghafoori, Z.; Bezdek, JC.; Palaniswami, M.; Leckie, C. Estimating Generalized Dunn's Cluster Validity Indices for Big Data. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE. 2018, pp. 656-661. DOI: 10.1109/SMC.2018.00120
  17. Mahallati, S.; Bezdek, JC.; Kumar, D.; Popovic, MR.; Valiante, TA. Interpreting cluster structure in waveform data with visual assessment and Dunn’s index. . Springer International Publishing. 2018, Vol. 739, pp. 73-101. DOI: 10.1007/978-3-319-67789-7_6
  18. Lyu, L.; Bezdek, JC.; Law, YW.; He, X.; Palaniswami, M. Privacy-preserving collaborative fuzzy clustering. Data & Knowledge Engineering. ELSEVIER SCIENCE BV. 2018, Vol. 116, pp. 21-41. DOI: 10.1016/j.datak.2018.05.002
  19. Kumar, D.; Bezdek, JC.; Rajasegarar, S.; Leckie, C.; Palaniswami, M. A visual-numeric approach to clustering and anomaly detection for trajectory data. The Visual Computer. SPRINGER. 2017, Vol. 33, Issue 3, pp. 265-281. DOI: 10.1007/s00371-015-1192-x
  20. Moshtaghi, M.; Erfani, SM.; Leckie, C.; Bezdek, JC. Exponentially Weighted Ellipsoidal Model for Anomaly Detection. International Journal of Intelligent Systems (IJIS). WILEY. 2017, Vol. 32, Issue 9, pp. 881-899. DOI: 10.1002/int.21875

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile